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Japan considers facial recognition for use of My Number cards at hospitals
The government is considering having hospitals introduce a facial recognition system to identify patients using My Number tax and social security identification cards as health insurance cards, sources have said. The move is designed to help prevent the fraudulent use of My Number cards and promote the spread of online procedures for public services. The use of My Number cards as health insurance cards at hospitals will become possible as early as March 2021 as the Diet passed related legislation last month. But such use is raising concerns among hospitals about potential problems that could arise if hospital staff accept My Number cards from patients for identification purposes. The government is considering having patients themselves take care of the identification procedures for the cards. Some companies, including NEC Corp. and Panasonic Corp., already sell facial recognition systems.
Machine learning is totally changing what we think of as literature
The definition of sci-fi is notoriously slippery. For some the genre is defined by its authors and landmark novels – starting with Twenty Thousand Leagues Under the Sea author Jules Verne, or pushing things even further back to Mary Shelley's Frankenstein. Others argue that it's more about ideas than people. The Encyclopedia of Science Fiction, for example, calls the genre the "literature of cognitive estrangement." But what if crunching the data on thousands of books could give us a more definite answer?
Artificial intelligence: opportunities, fears and the way forward - Hi tech news - Jerusalem Post
The advent of Linkedin targeted advertising, for example, saw thousands of conventional sales positions being closed as companies tried out this targeted way of advertising as opposed to manual sales and prospecting. Now, taxi drivers and truck drivers can see the same happening once autonomous transport becomes the norm. Countries like France and Greece are still trying to fight new innovative taxi booking solutions, whereas in reality, the world is already at the NEXT phase, which is no longer how we book these services, but how the service is actually delivered by autonomous driving. But we can go on: IT support technicians and financial advisors both face the same issue: ROBO advisors are working alongside humans to deliver spectacular results. Even copywriters in advertising agencies now see dynamic, programmatic copywriting rolled out to compete with a highly respected conventional trade.
Leveraging Deep Learning algorithms to business problems - breaking m…
All rights reserve. 5. DEEP LEARNING JOURNEY SO FAR 1980 Training them becomes difficult due to inadequate compute & dataThe power of neural networks is recognized GPUs make the required compute easily accessible for a broad range of problems Vast amounts of data flow through the internet Techniques for training "deep" networks open up new opportunities "Convolutional" networks – DCNNs, in particular – have changed the image analysis landscape 1990 2012 2015 2017 5Private and confidential. DEEP NEURAL NETWORK SHALLOW LAYERS Sensory features DEEP LAYERS Higher cognitive features Deep Neural Networks 10Private and confidential. FONTLI: 45,000 images used to train the network 14Private and confidential. Which whale is it, anyway? Face recognition to identify whales using deep learning A non-random sample from the dataset 4544 training images only & 447 categories 15Private and confidential.
How Facebook, Apple, Microsoft, Google, and Amazon are investing in AI
Artificial Intelligence is a big deal. Companies keep investing money in this technology to leverage their offer and serve the customers better. As usual, the industry giants are at on the frontline, researching ways on how to gain competitive advantage and come up with brand-new products and services. We have prepared an overview of the biggest names in the world of technology and their investment in AI. Google has a long history with AI and plans to evolve into the "AI-first world", as per the company's CEO Sundar Pichaim.
Artificial intelligence accelerates efforts to develop clean, virtually limitless fusion energy
Artificial intelligence (AI), a branch of computer science that is transforming scientific inquiry and industry, could now speed the development of safe, clean and virtually limitless fusion energy for generating electricity. A major step in this direction is under way at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University, where a team of scientists working with a Harvard graduate student is for the first time applying deep learning -- a powerful new version of the machine learning form of AI -- to forecast sudden disruptions that can halt fusion reactions and damage the doughnut-shaped tokamaks that house the reactions. "This research opens a promising new chapter in the effort to bring unlimited energy to Earth," Steve Cowley, director of PPPL, said of the findings, which are reported in the current issue of Nature magazine. "Artificial intelligence is exploding across the sciences and now it's beginning to contribute to the worldwide quest for fusion power." Fusion, which drives the sun and stars, is the fusing of light elements in the form of plasma -- the hot, charged state of matter composed of free electrons and atomic nuclei -- that generates energy.
The five: robot farmers
Last week a startup based at Plymouth University unveiled the world's first raspberry-picking robot. The machine can pick about 25,000 berries a day, which is 10,000 more than a human during an eight-hour shift. Raspberries are particularly challenging for machines to harvest because the robots have to identify ripe fruit and handle the soft berries without damaging them. The firm intends to lease the robots to farmers at a rate that would undercut the cost of employing human fruit pickers. Last month farming startup Iron Ox began selling salad partly farmed by robots at a store in California.
14 passengers injured as automated train in Yokohama travels in wrong direction, crashes into buffer
YOKOHAMA - A probe was launched Sunday into an accident involving an automated train the previous night in Yokohama which left 14 hurt, including six with serious injuries. Officials from the Japan Transport Safety Board began examining the train cars at Shin-Sugita Station on the Kanazawa Seaside Line. Investigators are considering a charge of professional negligence resulting in injuries, police sources said. At 8:15 p.m. on Saturday, an automated train operated by Yokohama Seaside Line Co. traveled in the wrong direction for about 25 meters at a speed of 6 kph. The train had been set to depart the station but instead moved backward and crashed into a buffer at Shin-Sugita Station.
Impact Of Existing And Emerging Cognitive Systems Market Trends And Forecast 2019-2025 – Amazing Newspaper
Cognitive systems include applications with capabilities to enhance human decisions. These systems take advantage of cognitive computing capabilities of vast data-processing power, adding of channels for data collection, and environmental setting to deliver practical business insights. In addition, they use analytics to process data collected and deliver useful insights. The banking segment was estimated to account for more than 17% value share towards the end of 2017 and is expected to expand at a high CAGR of 13.5% than other segments of the global cognitive systems spending market from 2017 to 2025. In 2018, the global Cognitive Systems market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
Send in the Robots: 5 Ways Artificial Intelligence Makes Content Creation Easier - Inbound Now - March 15, 2019
Artificial Intelligence (AI) is affecting almost every industry, and slowing becoming an integral part of our everyday lives, both at work and in the home. This especially rings true for content marketers, who are now seeing giant leaps forward in AI's ability to help them create, distribute, and manage their content. It might seem a bit techy and like something out of sci-fi but it's actually incredibly practical, helping many marketers create better content in a faster and more organized way. Here are 5 ways AI is making content creation easier. Personalization is something that many marketers struggle with, according to Marketing Charts that exact number sits at 75%.